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The locations people visit, their travel routes, and the amount of time spent at these locations are some of the most basic, but relevant, data on recreation. Specifically, spatial and temporal distributions of use influence the extent of recreationrelated resource impacts (Hammitt and Cole 1998). Also, use distributions affect experiential aspects of nature-based recreation, such as facility capacities, perceptions of crowding, and conflict among users (Manning 2011).Collection of spatial and temporal data describing naturebased recreational use patterns has traditionally involved asking visitors to record their own travel routes and times on paper map diaries or questionnaires (Gimblett et al. 2003;Hallo et al. 2005;Potter and Manning 1984;Shechter and Lucas 1978). These methods of collecting data on recreation use patterns are subject to much error and imprecision. For example, the ability of visitors to specify their location on a map (as used in studies employing map diaries) or to know the name of a specific location (as used in a questionnaire) is highly variable. This can lead to a misrepresentation of the places that were visited (Stedman et al. 2004;Stopher and Greaves 2007). Also, when recording times of stay on a map or questionnaire, the precision of responses may be influenced by the rounding of time units used to indicate a length of stay (Stopher and Greaves 2007).Traditional methods of collecting spatial and temporal use data are also burdensome to both survey respondents and researchers. These methods require respondents to track their travel routes on blank maps and record the time spent at locations. Studies involving larger nature-based tourist destinations such as parks, complex trail systems, or unmarked sites and trails make it too time-consuming or unfeasible for visitors to record the entirety of their travels. Also, respondents must be attentive to the research instruments instead of focusing on their recreational experience. Additionally, researchers must devote both time and resources to interpreting, categorizing, and transferring the data from paper maps or questionnaires to a computer for analysis.More recently, geospatial technologies have been used to collect and visually represent spatial recreational use 431325J TRXXX10.

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